A complex problem in computer vision systems is the incorrect description of objects due to dropouts along their contour. These dropouts can be caused by three factors: noise, or contrast problems; occluding shapes; perceived contour. A widely used shape representation technique is to represent the contour of an image as a sequence of parametric splines. In this paper we present one such technique, parametric spiral arcs, and argue that it displays properties desirable for vision systems and in particular, the spline-based contour representation aids contour completion. We present an algorithm which analyzes the dropout due to noise or occlusion and suggests likely connections, using information contained in the contour of a shape, and using perceptive properties of contour.
"Enclosing shape boundaries using properties of contour", Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); doi: 10.1117/12.248545; https://doi.org/10.1117/12.248545